Choose a film posted on Content Tab, discuss the image of Jesus that the film makers put forward and how this reflects contemporary culture. Discuss the images of those who seek to follow Christ in these films and what these images reflect about what it means to follow Jesus today. Students should include the specific challenges involved in imitating Jesus in the culture in which they live. The paper should be four to five-written pages. Please use standard margins, ten or twelve point font, and a standard font. This worksheet is the template to develop your paper. Paper needs to be double spaced, proper citation style (Chicago or APA), reference list at the end, proper paragraph division, first line indented. The rubrics in your syllabus explain how this paper will be graded.
Which Gospel does the screenwriter appear to depend upon more for their portrait of Jesus in the film? Cite specific examples from the film to support your answer.
I chose the movie Nativity film
1. C hez Henri is a restaurant chain that operates in 40 different cities. It hired an economist to estimate the factors affecting the demand for its sales. The following equation was estimated using cross sectional data from each of its 40 restaurants.
|
Y |
Annual restaurant sales (in thousands) |
|
|
X1 |
Disposable per capital income (in thousands) of the residents living within
5 miles of a restaurant |
|
|
X2 |
Population (in thousands) within a 5-mile radius of a restaurant |
|
|
X 3 |
Number of competing restaurants within a 5-mile radius |
The following information was obtained from the regression analysis: Multiple R: 0.92 R-Square: 0.85 Std. Error of Est.: 0.40
|
Analysis of Variance |
|
|||||||||||
|
DF |
Sum Squares |
Mean Sqr. |
F-Stat |
|||||||||
|
Regression |
3 |
220 |
73.3 |
18.2 |
||||||||
|
Residual |
36 |
60 |
1.7 |
|||||||||
|
Variable |
Coefficient |
Std. Error |
T-Value |
|||||||||
|
Constant |
0.4 |
0.2 |
2.0 |
|||||||||
|
0.01 |
0.004 |
2.5 |
||||||||||
|
0.02 |
0.015 |
1.3 |
||||||||||
|
-20.2 |
4.50 |
-4.6 |
Answer
the following questions: a. Give the estimated demand equation for predicting restaurant sales. b. Provide an interpretation for each of the regression coefficients. c. Which of the coefficients are statistically significant and which are not? Explain. d. What percent of variation are restaurant sales explained by this equation?
Answer
